Security Scan Report: aauthstart-trreezoor.gitbook.io

Submitted: Oct 16, 2025, 11:18:20 AMCompleted: Oct 16, 2025, 11:19:16 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 4 domains to perform 47 HTTP transactions. The main domain is aauthstart-trreezoor.gitbook.io and was registered NaN years ago.

Submitted URL: https://aauthstart-trreezoor.gitbook.io/us/

AI Security Verdict

AI analysis unavailable for this scan

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Getting Started with | Trezor.io/start®® | gitbook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(89%)

Domain Information

Domain 'aauthstart-trreezoor.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'aauthstart-trreezoor'. The second-level label 'gitbook' is 7 characters long containing three vowels alongside 4 consonants. Word splitting yields three words: g, it, book. Median word length is two characters. 'g' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://aauthstart-trreezoor.gitbook.io/us/

Page Load Overview

29.85s
Total Load Time
47
HTTP Requests
4
Domains
152 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,295 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain89% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
89%
finance banking
70%
technology software
70%
documentation technical
59%
government public service
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.64.147.188United States
AS13335CLOUDFLARENET
3104.18.40.47United States
AS13335CLOUDFLARENET
3104.18.41.89United States
AS13335CLOUDFLARENET
3172.64.147.209United States
AS13335CLOUDFLARENET
3172.64.146.167United States
AS13335CLOUDFLARENET
32a06:98c1:3101::ac40:93bcUnited States
AS13335CLOUDFLARENET
32606:4700:4404::6812:2959United States
AS13335CLOUDFLARENET
32a06:98c1:310d::ac40:92a7United States
AS13335CLOUDFLARENET
32606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
32606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
4712--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DEE3E61E7000F7459EB7DD14623EBE3A808ED67B8B79C5ADF24DC9A517C843B07A2990

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Df3glR6GVJf4X3xEv/DhK2y5ISIbK3woj6nXUI:DKRHVJf4iDhK2y5ISIbK3wojWUI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147756:AaJgRYRAsSDDIgwCMsIGAlWJwBLAKCHEEgdBIwrBBYIQAMAMFaEhccBBzAGeAEiFQCeUiTIKxpLI0eyMAGJUgxUwDGYEDQze

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:8fc7e7cfcfc7c3c3
Perceptual Hash:b19b368c1919c6cf
Difference Hash:191e081c180e1e1e
Wavelet Hash:8cc2c6cfcfc3c303
Color Hash:#c1e06c

Other Hashes

Crop Resistant:191e081c180e1e1e

Scan History

Scan history not available

Unable to load historical scan data